Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Here are a few use cases for this project:
Digital Archiving: "Sanskrit OCR" can be used by libraries, universities or history enthusiasts to digitize ancient Sanskrit texts or manuscripts. This would enable easier preservation, access, and understanding of these invaluable pieces of human history and culture.
Education and Research: This model can be used by students and researchers studying Sanskrit literature, linguistics, or history. Users can quickly search for specific terms in digitized texts, aiding their studies significantly.
Translation Services: If linked with translation software, "Sanskrit OCR" can be extremely helpful in providing instant translations of Sanskrit texts into various languages. This could be useful in applications like translating ancient documents or creating bilingual editions of Sanskrit literature.
Enhancing Accessibility for Blind individuals: This model could be integrated into audiobook applications to convert scanned Sanskrit texts into spoken words, making this ancient literature more accessible to people with visual impairments.
Artificial Intelligence Training: Developers could make use of "Sanskrit OCR" model to train other AI models for tasks involving recognition and understanding of classical languages or scripts, advancing the linguistics field within AI.
https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
The Hindi Wake Word & Voice Command Dataset is expertly curated to support the training and development of voice-activated systems. This dataset includes a large collection of wake words and command phrases, essential for enabling seamless user interaction with voice assistants and other speech-enabled technologies. It’s designed to ensure accurate wake word detection and voice command recognition, enhancing overall system performance and user experience.
This dataset includes 20,000+ audio recordings of wake words and command phrases. Each participant contributed 400 recordings, captured under varied environmental conditions and speaking speeds. The data covers:
This diversity ensures robust training for real-world voice assistant applications.
Each audio file is accompanied by detailed metadata to support advanced filtering and training needs.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Here are a few use cases for this project:
Digital Archiving: "Sanskrit OCR" can be used by libraries, universities or history enthusiasts to digitize ancient Sanskrit texts or manuscripts. This would enable easier preservation, access, and understanding of these invaluable pieces of human history and culture.
Education and Research: This model can be used by students and researchers studying Sanskrit literature, linguistics, or history. Users can quickly search for specific terms in digitized texts, aiding their studies significantly.
Translation Services: If linked with translation software, "Sanskrit OCR" can be extremely helpful in providing instant translations of Sanskrit texts into various languages. This could be useful in applications like translating ancient documents or creating bilingual editions of Sanskrit literature.
Enhancing Accessibility for Blind individuals: This model could be integrated into audiobook applications to convert scanned Sanskrit texts into spoken words, making this ancient literature more accessible to people with visual impairments.
Artificial Intelligence Training: Developers could make use of "Sanskrit OCR" model to train other AI models for tasks involving recognition and understanding of classical languages or scripts, advancing the linguistics field within AI.